SiamDataSpectrum

A platform for storing and analyzing time-series data. A single source of truth for all industrial telemetry.

10+ years

the entire well history in a single archive

1 billion+ points

on a chart at any zoom level, with no lag when zooming or panning

1,000+ objects

wells, gauges, facilities; millions of measurements without performance loss

up to 1M points/sec

peak data ingestion rate during bulk loading

Application

Tasks the product solves

Large telemetry archives, instant access to any interval — at the resolution you need, without switching between tools

Problem

Solution

Data is scattered across files, formats, and applications

A single repository with centralized access

Standard tools can't handle large volumes

A specialized architecture — instant visualization of any interval

Risk of data loss, no access control

Role-based model, integrity control, SSL/TLS protection

Advantages

Key capabilities

Original files and processed data are stored side by side, for decades, with regular backups. Millions of measurements — in one place, with fast access.

Charts with billions of points open instantly at any zoom level, with no data loss.

Text and tabular files, clipboard, SIAM device binary formats (DAT, DBF), batch and consolidated import. Flexible loaders accept data from any source.

MPa or atm, °C or °F — switch on the fly during import, export, on charts, and in input fields. Convenient defaults are set in settings.

Export data in its original form or with thinning algorithms applied. A built-in interpolation system lets you synchronize heterogeneous time series onto a common time grid.

Series types aren't hardcoded into the system: the administrator adds new ones — pressure, temperature, engine RPM, and others. The platform adapts to any telemetry.

A role-based model separates user permissions: viewing, uploading, editing, managing reference data. Data transfer is protected by SSL/TLS.

Storage architecture

The data path from file to chart

Data is sequentially transformed into a form optimized for reading — from the source file to a ready-made chart segment.

Original files

Stored as-is — for auditing and reprocessing.

Measurements

A source file tagged for the system: linked to a well and series.

Packs

Immutable daily blocks — the atomic building block of a measurement.

Timelines

A daily slice of a series, where data from all measurements is merged into one block.

Segments

Series aggregates at various resolutions — for instant chart rendering.

The system picks the segment with the right resolution — coarse for a long interval, more detailed as you zoom in. Response speed doesn't depend on the volume of accumulated data.

Lifecycle